This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/81272
Description
Title
Model-Based Tracking of Articulated Objects
Author(s)
Nickles, Kevin Michael
Issue Date
1998
Doctoral Committee Chair(s)
Seth Hutchinson
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
Unique aspects of this work include on-line model-based generation of complex features for use as templates, the characterization of uncertainties in point feature motion for use in assimilating feature tracking results, the use of the sum-of-squared-differences (SSD) image correlation measure as a measurement of the observation error in feature tracking, and the use of complex articulated object models in tracking.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
